8 TI-Nspire™ Reference Guide
Outputs: Block Design
COLUMN FACTOR Outputs
stat.SSError Sum of squares of the errors
stat.MSError Mean square for the errors
stat.sp Pooled standard deviation
stat.xbarlist Mean of the input of the lists
stat.CLowerList 95% confidence intervals for the mean of each input list
stat.CUpperList 95% confidence intervals for the mean of each input list
ANOVA2way
Catalog
>
ANOVA2way List1,List2[,List3,…,List10][,levRow]
Computes a two-way analysis of variance for comparing the means of
two to 10 populations. A summary of results is stored in the
stat.results variable. (See page 97.)
LevRow=0 for Block
LevRow=2,3,...,Len-1, for Two Factor, where
Len=length(List1)=length(List2) = … = length(List10) and
Len / LevRow ∈ {2,3,…}
Output variable Description
stat.FF statistic of the column factor
stat.PVal Smallest level of significance at which the null hypothesis can be rejected
stat.df Degrees of freedom of the column factor
stat.SS Sum of squares of the column factor
stat.MS Mean squares for column factor
stat.FBlock F statistic for factor
stat.PValBlock Least probability at which the null hypothesis can be rejected
stat.dfBlock Degrees of freedom for factor
stat.SSBlock Sum of squares for factor
stat.MSBlock Mean squares for factor
stat.dfError Degrees of freedom of the errors
stat.SSError Sum of squares of the errors
stat.MSError Mean squares for the errors
stat.s Standard deviation of the error
Output variable Description
stat.Fcol F statistic of the column factor
Output variable Description